Triple

T23332991
Position Surface form Disambiguated ID Type / Status
Subject 40 O.B. E591495 entity
Predicate employer P7 FINISHED
Object Reginald Hall NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Reginald Hall | Statement: [40 O.B., employer, Reginald Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald Hall
Context triple: [40 O.B., employer, Reginald Hall]
  • A. William Reginald Hall chosen
    William Reginald Hall was a British naval intelligence officer and admiral best known for directing Royal Navy codebreaking operations during World War I.
  • B. Reginald Palmer
    Reginald Palmer was a Grenadian politician who served as the country’s Governor-General, acting as the representative of the British monarch in Grenada.
  • C. Reginald Barlow
    Reginald Barlow was an English-born American character actor of stage and screen, active in the early 20th century and known for his numerous supporting roles in Hollywood films.
  • D. Henry Halls
    Henry Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
  • E. Reginald Warneford
    Reginald Warneford was a British World War I aviator and Victoria Cross recipient renowned for being the first pilot to destroy a German Zeppelin in mid-air.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197eecc5c81908089eb43bc701196 completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:16 p.m.